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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. 6-RES-JB
    11. 2713
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific months and days of the week

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iov
    -0.80
    atem
    -0.72
    Definition
    -0.69
    NetMessage
    -0.68
     Unch
    -0.66
    aron
    -0.66
    gone
    -0.65
     Polk
    -0.62
    ISM
    -0.61
    vs
    -0.61
    POSITIVE LOGITS
     respectively
    1.17
    ruary
    0.93
    depending
    0.92
     alike
    0.84
     depending
    0.83
     installments
    0.81
    iphate
    0.74
     coasts
    0.73
     thereafter
    0.72
     grades
    0.72
    Activations Density 0.092%

    No Known Activations