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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. 3-RES-JB
    11. 16302
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    Explanations

    phrases related to unconfirmed or unanticipated events

    oai_token-act-pair · gpt-3.5-turbo

    words related to confirmations and announcements of statuses or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Christy
    -0.74
    utra
    -0.67
    rir
    -0.64
    adier
    -0.63
    aminer
    -0.61
    aman
    -0.61
     McCarthy
    -0.60
    row
    -0.59
    CAP
    -0.58
    herty
    -0.58
    POSITIVE LOGITS
    dit
    0.72
    ibles
    0.71
    iate
    0.70
    ministic
    0.70
    oppable
    0.63
    iated
    0.63
     Ones
    0.63
     Fault
    0.62
    Initialized
    0.62
    theless
    0.61
    Activations Density 0.078%

    No Known Activations