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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. 11-RES-JB
    11. 2712
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    Explanations

    expressions related to aspirations or desires

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hope or intention behind actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eni
    -0.78
    elta
    -0.69
    ascus
    -0.64
    agra
    -0.60
    aware
    -0.56
    anni
    -0.54
     DRAGON
    -0.54
     Dating
    -0.53
    amera
    -0.52
     Doodle
    -0.52
    POSITIVE LOGITS
     that
    1.08
     of
    1.00
     thereof
    0.88
     they
    0.88
    that
    0.85
     THAT
    0.71
    That
    0.68
    they
    0.66
     OF
    0.64
     THEY
    0.63
    Activations Density 0.104%

    No Known Activations