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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. 4-RES-JB
    11. 2479
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    Explanations

    author names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of authorship or authors

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

    No Comments

    Negative Logits
    ttes
    -0.79
    EMS
    -0.75
     Pist
    -0.70
     Peb
    -0.70
    romy
    -0.69
    ll
    -0.68
     Nicaragua
    -0.68
    ints
    -0.65
     Bottle
    -0.65
     Blasio
    -0.64
    POSITIVE LOGITS
    itative
    1.44
    itatively
    1.22
    itarian
    1.21
    itism
    0.86
    Author
    0.86
    gements
    0.85
    essee
    0.83
    izations
    0.82
    itar
    0.82
    ity
    0.81
    Activations Density 0.015%

    No Known Activations