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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. 16766
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    Explanations

    keywords related to looking or investigating different subjects or topics

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the verb "look" in various contexts

    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
    âĹ¼
    -0.67
    Cele
    -0.63
    cape
    -0.62
    theless
    -0.62
    cffff
    -0.60
    CENT
    -0.59
    orb
    -0.57
    accompan
    -0.56
    EStreamFrame
    -0.56
    interstitial
    -0.56
    POSITIVE LOGITS
    ahead
    0.98
    ãĤ¶
    0.83
    izons
    0.81
    ared
    0.74
     favorably
    0.74
    asaki
    0.73
    anship
    0.72
    iless
    0.72
    ression
    0.72
    atters
    0.71
    Activations Density 0.067%

    No Known Activations