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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. 3-RES-JB
    11. 15569
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    Explanations

    patterns of hexadecimal digits interspersed with characters like "\", "x", and punctuation marks

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the number '6' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Beir
    -0.72
    itory
    -0.70
    imaru
    -0.68
     EntityItem
    -0.68
    itionally
    -0.66
    angible
    -0.65
    ãĥ¼ãĥĨ
    -0.64
    itivity
    -0.64
    ãĥ¤
    -0.63
    perature
    -0.61
    POSITIVE LOGITS
    teenth
    1.32
    teen
    1.20
    th
    0.99
    36
    0.93
    34
    0.93
    31
    0.92
    012
    0.91
    708
    0.90
    38
    0.90
    018
    0.89
    Activations Density 0.064%

    No Known Activations