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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. 24085
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    Explanations

    words related to the central location or focus of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases referring to a central location or focal point

    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
    IGHTS
    -0.74
    ãĥīãĥ©
    -0.72
    apons
    -0.70
    Girls
    -0.68
    TED
    -0.66
    areth
    -0.66
    ield
    -0.65
    itsu
    -0.63
    atson
    -0.62
    ugg
    -0.62
    POSITIVE LOGITS
    pieces
    1.12
    tenance
    0.81
     fielder
    0.79
    stadt
    0.77
    point
    0.76
    eous
    0.76
    uve
    0.74
    piece
    0.74
    imeters
    0.72
    mast
    0.72
    Activations Density 0.023%

    No Known Activations