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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. 15983
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    words related to names or identifiers, particularly those beginning with "Ben" or related to safety

    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
    oslav
    -0.75
    Interested
    -0.71
    ËĪ
    -0.70
    riter
    -0.69
     constitu
    -0.69
    ngth
    -0.68
    é¾įåĸļ士
    -0.68
    FORMATION
    -0.67
    interstitial
    -0.67
    soDeliveryDate
    -0.66
    POSITIVE LOGITS
    enment
    0.75
    fen
    0.72
    rama
    0.70
    lehem
    0.67
    isher
    0.65
     Ree
    0.63
    ilot
    0.61
    anke
    0.61
    aline
    0.60
    leon
    0.60
    Activations Density 0.077%

    No Known Activations