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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. 6008
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    Explanations

    phrases related to categorization or classification of items or individuals

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating various types of classifications or categories

    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
    NAS
    -0.95
    VEL
    -0.73
    DS
    -0.73
    UNCH
    -0.73
    LM
    -0.71
    ANS
    -0.69
    IRO
    -0.69
    OM
    -0.68
    APS
    -0.68
     Rings
    -0.68
    POSITIVE LOGITS
    lier
    0.79
    ilege
    0.79
    aldehyde
    0.78
     imaginable
    0.77
    ileged
    0.77
    ifier
    0.76
    insula
    0.75
    icipated
    0.74
    ifiers
    0.73
    etter
    0.72
    Activations Density 0.023%

    No Known Activations