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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. 4-RES-JB
    11. 24258
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    Explanations

    phrases related to dialogue where a person is expressing strong emotions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    punctuated clauses or quotations in the text

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

    No Comments

    Negative Logits
    İĭ
    -0.86
    ²¾
    -0.83
    »Ĵ
    -0.72
    ·
    -0.70
    forth
    -0.68
    Ĭ
    -0.68
    ¬¼
    -0.67
    ©¶æ
    -0.66
    eb
    -0.65
    erity
    -0.65
    POSITIVE LOGITS
     reads
    0.95
     says
    0.82
     according
    0.79
    said
    0.74
     said
    0.73
    according
    0.72
     recalls
    0.71
     referring
    0.71
     Rivers
    0.66
     remarked
    0.65
    Activations Density 0.093%

    No Known Activations