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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
    11. 8774
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    INDEX
    Explanations

    numerical values indicating quantity

    oai_token-act-pair · gpt-3.5-turbo

    references to the number 700

    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
    pos
    -0.72
    plom
    -0.69
    matter
    -0.68
    andem
    -0.68
    stood
    -0.65
    emic
    -0.63
    pron
    -0.63
    ezvous
    -0.62
    levant
    -0.62
    vana
    -0.61
    POSITIVE LOGITS
    700
    0.96
     MHz
    0.93
     ILCS
    0.91
    MHz
    0.91
    0002
    0.87
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.86
    mA
    0.86
    000
    0.83
    889
    0.80
    ————
    0.80
    Activations Density 0.010%

    No Known Activations