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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. 3-RES-JB
    11. 22626
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    Explanations

    specific names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Roh" and related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iliary
    -0.88
    ciating
    -0.76
     IMAGES
    -0.67
     Panther
    -0.67
    phis
    -0.67
    lement
    -0.66
    nect
    -0.64
    dress
    -0.63
     dotted
    -0.63
    DCS
    -0.63
    POSITIVE LOGITS
     Roh
    1.12
    rer
    0.83
    sten
    0.79
    der
    0.78
    atche
    0.78
    uling
    0.77
    ata
    0.74
    mer
    0.74
    rin
    0.71
    adier
    0.70
    Activations Density 0.006%

    No Known Activations