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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. 6-RES-JB
    11. 7439
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    Explanations

    the letter combinations "е" with high activation

    oai_token-act-pair · gpt-3.5-turbo

    character sequences that appear to be related to a specific encoding or language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ength
    -0.95
    oaded
    -0.86
    arsity
    -0.84
    uality
    -0.82
    accompanied
    -0.81
    oppable
    -0.79
    icals
    -0.79
    ateral
    -0.78
    raints
    -0.77
    ubby
    -0.77
    POSITIVE LOGITS
    ·
    1.23
    м
    1.16
    н
    1.14
    Ĺ
    1.13
    ¶
    1.12
    ÑĢ
    1.06
    °
    1.04
    ´
    1.03
    ĺ
    1.01
    Ð
    1.00
    Activations Density 0.013%

    No Known Activations