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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. 1-RES-JB
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    Explanations

    dollar amounts in the format $X.XX

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number "89"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arent
    -0.80
    åĤ
    -0.75
    pled
    -0.67
    folk
    -0.66
    claimed
    -0.66
     Dull
    -0.66
     Holo
    -0.65
    ioned
    -0.64
    pocket
    -0.64
    NetMessage
    -0.64
    POSITIVE LOGITS
    ¿½
    0.90
    hovah
    0.82
    089
    0.81
    terday
    0.81
    793
    0.79
    unction
    0.79
    09
    0.77
    89
    0.74
    49
    0.74
    79
    0.74
    Activations Density 0.026%

    No Known Activations