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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. 12342
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    Explanations

    words related to textures and materials

    oai_token-act-pair · gpt-3.5-turbo

    words related to various forms of the word "wood" and its derivatives

    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
    lishes
    -0.77
    SPONSORED
    -0.73
    utenberg
    -0.69
     Parish
    -0.67
     Blaz
    -0.62
    vg
    -0.60
    estinal
    -0.59
    rador
    -0.59
     Yards
    -0.58
    ICAN
    -0.58
    POSITIVE LOGITS
     destro
    0.69
    bean
    0.66
    theless
    0.64
    Austral
    0.63
     electroly
    0.63
    cream
    0.63
    ophon
    0.62
     complexion
    0.62
    chid
    0.61
    enhagen
    0.61
    Activations Density 0.170%

    No Known Activations