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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. 11310
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    INDEX
    Explanations

    instances where the text suggests or instructs the reader to look at something

    oai_token-act-pair · gpt-3.5-turbo

    instances of phrases that suggest observation or scrutiny

    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
    ¬¼
    -0.67
    İ
    -0.66
    adas
    -0.66
    ore
    -0.64
    Optional
    -0.63
    enz
    -0.62
    strom
    -0.61
    Joined
    -0.60
    amus
    -0.58
    zeb
    -0.56
    POSITIVE LOGITS
     suffice
    0.86
     however
    0.81
     namely
    0.74
    shows
    0.72
     including
    0.70
     similarities
    0.69
     wherein
    0.69
     comparing
    0.68
     which
    0.67
     please
    0.66
    Activations Density 0.238%

    No Known Activations