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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. 7-RES-JB
    11. 3852
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    INDEX
    Explanations

    mentions of substantial contributions or investments

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and phrases indicating involvement or contribution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    few
    -0.82
    listed
    -0.74
    ITIES
    -0.71
     Advertisement
    -0.70
    deen
    -0.67
    most
    -0.66
    aci
    -0.66
     Caption
    -0.62
    peace
    -0.60
    resy
    -0.60
    POSITIVE LOGITS
    iosyncr
    0.80
     welf
    0.71
     autonomy
    0.70
     regard
    0.69
     infrastructure
    0.67
    ioch
    0.65
     ensuring
    0.65
     establishing
    0.64
     behavi
    0.61
     tackling
    0.61
    Activations Density 0.535%

    No Known Activations