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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
    11. 18096
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    Explanations

    phrases related to pressure or urgency

    oai_token-act-pair · gpt-3.5-turbo

    phrases describing significant pressures or challenges

    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
    quin
    -0.79
    ourt
    -0.75
    edIn
    -0.68
     Replacement
    -0.64
    thood
    -0.64
    reply
    -0.62
    dinand
    -0.62
    quire
    -0.61
     Common
    -0.61
     Visit
    -0.59
    POSITIVE LOGITS
     unmist
    0.85
     muted
    0.82
     bitters
    0.75
     obvious
    0.74
     palpable
    0.72
     iceberg
    0.71
     varied
    0.71
     undeniable
    0.69
     surpr
    0.69
     reversed
    0.67
    Activations Density 0.405%

    No Known Activations