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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. 17549
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    Explanations

    words related to geographical locations or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    specific letters or characters in sequences or patterns related to various contexts

    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
     longitudinal
    -0.65
    FORMATION
    -0.65
    VICE
    -0.62
     multim
    -0.61
     subsistence
    -0.60
    ktop
    -0.59
     knot
    -0.59
    stood
    -0.59
     starters
    -0.58
    OPLE
    -0.58
    POSITIVE LOGITS
    achev
    0.99
    inki
    0.93
    awi
    0.89
    aja
    0.87
    akov
    0.86
    abi
    0.86
    ety
    0.85
    iani
    0.83
    dor
    0.83
    uras
    0.82
    Activations Density 0.132%

    No Known Activations