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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. 7-RES-JB
    11. 3762
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    Explanations

    long alphanumeric strings or special characters at the end of the input text

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the character "ľ" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    matic
    -0.82
    matically
    -0.78
    ulative
    -0.75
    tips
    -0.67
     primates
    -0.66
    itives
    -0.64
    orial
    -0.63
     incorpor
    -0.62
    wcsstore
    -0.61
    imony
    -0.61
    POSITIVE LOGITS
    âĶĢâĶĢ
    0.98
    orth
    0.83
    xt
    0.78
    âĶĢâĶĢâĶĢâĶĢ
    0.76
    âķIJâķIJ
    0.72
    rique
    0.72
    CE
    0.72
    姫
    0.71
    raught
    0.69
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.69
    Activations Density 0.049%

    No Known Activations