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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. 3-RES-JB
    11. 6492
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    Explanations

    words related to thwarting or obstructing

    oai_token-act-pair · gpt-3.5-turbo

    words related to structure or organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    peat
    -0.76
    manship
    -0.69
    ¥µ
    -0.69
    shots
    -0.67
    fulness
    -0.64
     Leilan
    -0.60
    jay
    -0.60
     smoke
    -0.60
    hyde
    -0.59
     timely
    -0.59
    POSITIVE LOGITS
    ategy
    1.26
    ained
    1.16
    ategic
    1.11
    ainer
    1.04
    aining
    1.02
    uments
    1.02
    anded
    0.98
    aditional
    0.95
    icken
    0.93
    aints
    0.92
    Activations Density 0.007%

    No Known Activations