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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. 17682
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    Explanations

    phrases indicating purpose or intention

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express intentions, objectives, or purposes behind actions

    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
    aples
    -0.72
    heed
    -0.70
    uba
    -0.70
    rete
    -0.69
    avorite
    -0.68
    cit
    -0.66
    vez
    -0.62
    orthodox
    -0.60
    asca
    -0.60
    zek
    -0.59
    POSITIVE LOGITS
     caveat
    0.83
     assumption
    0.80
    same
    0.69
     premise
    0.66
    liest
    0.66
     of
    0.64
    ultimate
    0.62
     refrain
    0.62
     à¨
    0.59
    onym
    0.59
    Activations Density 0.164%

    No Known Activations