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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. 4376
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    Explanations

    the Cyrillic letter "о" with varying activation strengths

    oai_token-act-pair · gpt-3.5-turbo
    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
    esville
    -0.74
    ibility
    -0.69
    mble
    -0.68
     pulp
    -0.68
    staking
    -0.67
    amba
    -0.65
    ibly
    -0.65
    ities
    -0.64
    ITNESS
    -0.63
    ITED
    -0.63
    POSITIVE LOGITS
    Ñģ
    1.04
    ÑĢ
    0.96
    ãĥĥãĥī
    0.84
    ÑĤ
    0.80
    н
    0.78
    mire
    0.77
    Ñ
    0.76
    Ì
    0.74
    vernment
    0.73
    Ãī
    0.72
    Activations Density 0.018%

    No Known Activations