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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. 9-RES-JB
    11. 22811
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    INDEX
    Explanations

    phrases related to numerical values and directions

    oai_token-act-pair · gpt-3.5-turbo

    negative sentiments and phrases indicating decline or loss

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     conflic
    -0.68
     EntityItem
    -0.67
     Forth
    -0.65
     Hes
    -0.63
     Resp
    -0.63
     Citiz
    -0.62
     casc
    -0.62
     Doodle
    -0.61
     organized
    -0.60
    stice
    -0.60
    POSITIVE LOGITS
    _-
    1.32
    webkit
    1.22
    1
    1.20
    /-
    1.18
    3
    1.12
    2
    1.09
    0
    1.09
    20
    1.09
    4
    1.04
    5
    1.04
    Activations Density 0.043%

    No Known Activations