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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
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    Explanations

    references to the word "Hill"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Hill" in various contexts

    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
    ============
    -0.76
    glomer
    -0.73
    cial
    -0.69
    ULAR
    -0.68
    ACTED
    -0.68
    detail
    -0.67
    ========
    -0.67
    nces
    -0.66
    icable
    -0.66
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    -0.66
    POSITIVE LOGITS
    iard
    1.23
    yer
    1.00
    top
    0.90
    side
    0.89
    castle
    0.87
    dale
    0.87
    tops
    0.86
    stones
    0.86
     Hill
    0.83
    shire
    0.82
    Activations Density 0.011%

    No Known Activations