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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. 11989
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    Explanations

    keywords related to specific actions or qualities, such as 'roaming freely', 'moving as freely', or 'press gently'

    oai_token-act-pair · gpt-3.5-turbo

    adverbs that describe manner or frequency in 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
     privilege
    -0.71
    eries
    -0.68
    rite
    -0.64
     ACL
    -0.63
    hao
    -0.61
    oute
    -0.58
    rys
    -0.58
     TY
    -0.57
     AJ
    -0.57
    tein
    -0.57
    POSITIVE LOGITS
     ILCS
    0.87
     thereafter
    0.83
     throughout
    0.81
     afterwards
    0.76
     afterward
    0.75
     enough
    0.74
     during
    0.72
    enough
    0.71
     onstage
    0.67
     into
    0.66
    Activations Density 0.165%

    No Known Activations