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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 12245
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    Explanations

    phrases that involve repeated mentions of "each" with a description or classification following

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of unique characteristics associated with various entities or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     understatement
    -0.71
    Īè
    -0.67
    tch
    -0.65
     abound
    -0.63
    osate
    -0.61
    Rush
    -0.60
    arton
    -0.58
     Trafford
    -0.57
     Didn
    -0.57
     Nope
    -0.56
    POSITIVE LOGITS
     individually
    1.52
     separately
    1.28
     unique
    1.13
     differently
    1.10
     different
    1.07
     independently
    1.04
     distinct
    0.99
     varying
    0.99
     differing
    0.97
     uniquely
    0.97
    Activations Density 0.269%

    No Known Activations