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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. 10-RES-JB
    11. 12354
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    Explanations

    verb phrases related to preferences or choices

    oai_token-act-pair · gpt-3.5-turbo

    expressions of preference

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    brance
    -0.98
    orig
    -0.76
    STATE
    -0.72
    idation
    -0.68
    arta
    -0.67
    UF
    -0.67
    Behind
    -0.67
    idem
    -0.67
    $$
    -0.66
    gren
    -0.65
    POSITIVE LOGITS
     anonymity
    0.90
    rals
    0.87
     solitude
    0.82
     simplicity
    0.80
     staying
    0.79
     avoiding
    0.73
     keeping
    0.71
     sticking
    0.71
     shorter
    0.70
     preferring
    0.69
    Activations Density 0.039%

    No Known Activations