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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. 6466
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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 @ 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
    edIn
    -0.78
     redu
    -0.75
    ramid
    -0.71
     pens
    -0.69
    mable
    -0.68
     regression
    -0.68
     Lumpur
    -0.65
     Elys
    -0.65
     equivalents
    -0.63
     Orn
    -0.63
    POSITIVE LOGITS
    sic
    1.40
    ?]
    1.36
    !]
    1.25
     edit
    1.21
    ËĪ
    1.15
    emphasis
    1.14
    laughs
    1.11
    :]
    1.10
    %]
    1.08
    ](
    1.07
    Activations Density 0.045%

    No Known Activations