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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. 2793
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    INDEX
    Explanations

    phrases indicating personal thoughts or contemplations

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating possibility and obligation

    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
     dynamics
    -0.76
     dictates
    -0.69
     arises
    -0.67
     obsc
    -0.64
     offsets
    -0.64
     Bravo
    -0.62
     strikingly
    -0.62
     indicates
    -0.61
    idates
    -0.61
     rife
    -0.61
    POSITIVE LOGITS
     hear
    0.85
     get
    0.85
     drink
    0.85
     lose
    0.83
    eat
    0.82
    itate
    0.79
     myself
    0.78
    oan
    0.77
     regret
    0.76
     eat
    0.73
    Activations Density 0.409%

    No Known Activations