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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. 4-RES-JB
    11. 6680
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    Explanations

    phrases indicating recognition or acknowledgment of achievement

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "named" indicating awards or recognitions

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

    No Comments

    Negative Logits
    Beg
    -0.81
    Yo
    -0.74
    EMS
    -0.72
    Cu
    -0.71
    Requ
    -0.69
    bs
    -0.65
    stead
    -0.65
    cdn
    -0.64
    Anim
    -0.64
    NZ
    -0.63
    POSITIVE LOGITS
    paces
    1.00
    daq
    0.91
     Cosponsors
    0.83
     naming
    0.79
    icter
    0.77
    named
    0.74
     names
    0.73
    essee
    0.72
     named
    0.72
     landmarks
    0.71
    Activations Density 0.015%

    No Known Activations