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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 9865
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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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wagen
    -0.82
     occas
    -0.77
     pens
    -0.75
    nesday
    -0.73
    edIn
    -0.73
    emouth
    -0.70
     thous
    -0.69
    mable
    -0.68
     rooft
    -0.68
     Orn
    -0.68
    POSITIVE LOGITS
    ?]
    1.32
     edit
    1.21
    ËĪ
    1.19
    !]
    1.15
    sic
    1.15
    actionDate
    1.09
    Footnote
    1.06
    emphasis
    1.03
    laughs
    1.02
    %]
    1.00
    Activations Density 0.040%

    No Known Activations