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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. 2938
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    Explanations

    timestamps in the format of "h:mm p.m." and mentions of law enforcement actions

    oai_token-act-pair · gpt-3.5-turbo

    the letter 'm' in various contexts

    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
     Bubble
    -0.64
     Atlantis
    -0.64
     Magical
    -0.63
     Spice
    -0.61
     scratched
    -0.61
     mythical
    -0.61
     archaic
    -0.61
     Behavior
    -0.60
    arte
    -0.59
     redesigned
    -0.59
    POSITIVE LOGITS
    igr
    1.04
    obiles
    1.02
    iles
    0.98
    obil
    0.98
    ISSION
    0.97
    ichael
    0.95
    ornings
    0.95
    ormon
    0.95
    EMBER
    0.94
    otor
    0.93
    Activations Density 0.043%

    No Known Activations