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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. 9733
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    Explanations

    specific numerical values within a certain range

    oai_token-act-pair · gpt-3.5-turbo

    numeric values related to data, ratings, or statistics

    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
    aeus
    -0.82
    anooga
    -0.81
    enzie
    -0.81
    achu
    -0.80
    ype
    -0.78
    andise
    -0.78
    arios
    -0.77
    itious
    -0.77
    aleb
    -0.75
    alist
    -0.75
    POSITIVE LOGITS
    th
    0.93
    00
    0.89
    650
    0.82
    teen
    0.80
    50
    0.78
    315
    0.77
    017
    0.77
    nd
    0.76
    31
    0.74
    mph
    0.73
    Activations Density 0.026%

    No Known Activations