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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. 9777
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    Explanations

    phrases related to irreparable situations or consequences

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating a lack of relevance or significance

    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
    ucket
    -0.80
    ramid
    -0.77
    anwhile
    -0.70
     buckle
    -0.67
    owler
    -0.66
     Trials
    -0.65
    oaded
    -0.64
    ourke
    -0.64
     Solitaire
    -0.63
     Hunters
    -0.63
    POSITIVE LOGITS
    voc
    1.36
    parable
    1.26
    clusive
    0.97
    asonable
    0.96
    agan
    0.92
    itable
    0.92
    cover
    0.92
    ceivable
    0.89
    ality
    0.89
    vers
    0.89
    Activations Density 0.022%

    No Known Activations