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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. 6-RES-JB
    11. 22000
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pton
    -0.79
    ãĥ£
    -0.70
    ku
    -0.65
    fresh
    -0.65
     ingred
    -0.65
    saf
    -0.62
    trace
    -0.59
    Ped
    -0.59
    fal
    -0.59
    origin
    -0.59
    POSITIVE LOGITS
    leeve
    0.92
    ugal
    0.86
    entious
    0.83
    ort
    0.82
    nesses
    0.80
    orts
    0.78
    raits
    0.77
    rait
    0.76
    oise
    0.75
    entimes
    0.75
    Activations Density 0.050%

    No Known Activations