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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. 3-RES-JB
    11. 5036
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    INDEX
    Explanations

    specific city names within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    the name of a person or character associated with a significant context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Pal
    -0.82
    iler
    -0.75
    ogie
    -0.72
    arcer
    -0.71
    pal
    -0.70
    bsp
    -0.68
    emetery
    -0.68
    reviewed
    -0.66
    mort
    -0.66
    sers
    -0.65
    POSITIVE LOGITS
    iatus
    0.81
     Aub
    0.68
     Chun
    0.65
     Diff
    0.64
     Angle
    0.64
     Button
    0.62
     horizont
    0.61
     button
    0.60
     Cue
    0.60
    etheless
    0.60
    Activations Density 0.000%

    No Known Activations