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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. 9-RES-JB
    11. 20138
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    Explanations

    punctuation marks that are closely associated with important information or actions

    oai_token-act-pair · gpt-3.5-turbo

    expressions that indicate uncertainty or questioning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Constructed
    -0.72
    vid
    -0.69
    ãĥį
    -0.69
    Ļ½
    -0.67
    ervative
    -0.64
    ä¸Ĭ
    -0.64
    iam
    -0.64
    coat
    -0.62
    eco
    -0.62
    ":[
    -0.60
    POSITIVE LOGITS
     nor
    1.31
     but
    1.13
    nor
    1.03
     though
    1.01
     although
    0.99
    but
    0.95
     however
    0.94
     preferring
    0.92
     BUT
    0.87
     tho
    0.81
    Activations Density 0.255%

    No Known Activations