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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. 8-RES-JB
    11. 10153
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    Explanations

    words related to physical locations, particularly the center

    oai_token-act-pair · gpt-3.5-turbo

    references to a central theme or focal point

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IGHTS
    -0.81
    ITNESS
    -0.74
    ggies
    -0.66
    ãĥīãĥ©
    -0.66
    ield
    -0.64
    IVERS
    -0.64
     ABE
    -0.63
     Bagg
    -0.62
    soDeliveryDate
    -0.62
    mx
    -0.61
    POSITIVE LOGITS
    pieces
    1.40
     fielder
    1.17
    piece
    1.08
    point
    0.90
    stadt
    0.87
    burst
    0.86
    field
    0.86
    liners
    0.85
    line
    0.85
    tenance
    0.84
    Activations Density 0.034%

    No Known Activations