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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. 7-RES-JB
    11. 16376
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    Explanations

    names of a specific individual - "Max."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Max" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GROUND
    -0.76
    wark
    -0.68
    CHO
    -0.67
    selves
    -0.66
    FORE
    -0.66
    keeper
    -0.64
     vag
    -0.63
    cipline
    -0.63
    RECT
    -0.63
    ADRA
    -0.63
    POSITIVE LOGITS
    imus
    1.51
    imil
    1.32
    imize
    1.28
    imal
    1.10
    ima
    1.06
    imen
    0.98
    imo
    0.94
    ims
    0.93
    itar
    0.92
     Payne
    0.91
    Activations Density 0.017%

    No Known Activations