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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 3257
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    Explanations

    mentions of the word 'Hull' with varying strengths of activation

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to "Hull," likely indicating a focus on a specific location or subject related to it

    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
    ced
    -0.90
    cess
    -0.90
    cing
    -0.84
    BOOK
    -0.82
    cence
    -0.79
    ctors
    -0.78
    20439
    -0.73
    ãĥ¥
    -0.71
    DIT
    -0.70
    cient
    -0.70
    POSITIVE LOGITS
    abal
    1.37
    sburg
    0.99
     Hull
    0.81
    sburgh
    0.80
    espie
    0.79
     KR
    0.77
    awei
    0.76
    enburg
    0.74
    ashtra
    0.74
    enson
    0.73
    Activations Density 0.015%

    No Known Activations