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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. 22556
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    Explanations

    instances of the word "find" followed by various contexts and subjects

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "find" and its variations

    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
    rolet
    -0.79
    isoft
    -0.76
    brance
    -0.69
    apeake
    -0.68
    gap
    -0.65
    voy
    -0.63
    IQ
    -0.62
    externalActionCode
    -0.61
    eneg
    -0.61
    vous
    -0.60
    POSITIVE LOGITS
     yourself
    1.19
     themselves
    1.19
     ourselves
    1.16
     oneself
    1.16
     myself
    1.13
     herself
    1.12
     himself
    1.08
     yourselves
    1.08
     out
    1.08
     itself
    0.98
    Activations Density 0.079%

    No Known Activations