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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. 7-RES-JB
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    Explanations

    references to the number "60"

    oai_token-act-pair · gpt-3.5-turbo

    references to the television program "60 Minutes"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    achi
    -0.74
    lies
    -0.73
    abolic
    -0.72
    sell
    -0.72
    icult
    -0.71
    abol
    -0.70
    leased
    -0.70
    ches
    -0.70
    ality
    -0.69
    plement
    -0.69
    POSITIVE LOGITS
     Minutes
    1.41
    Hz
    1.02
     ILCS
    1.00
    fps
    0.94
     Hz
    0.90
    mph
    0.83
     Seconds
    0.82
     mph
    0.82
    ancies
    0.81
    Percent
    0.79
    Activations Density 0.052%

    No Known Activations