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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. 1-RES-JB
    11. 21575
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    INDEX
    Explanations

    positive adjectives describing people or things

    oai_token-act-pair · gpt-3.5-turbo

    words describing exceptional or disturbing characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pta
    -0.68
    ifter
    -0.60
     Hidden
    -0.60
    Water
    -0.59
    nsic
    -0.57
     Jak
    -0.57
     circ
    -0.57
    cius
    -0.56
    ÅĤ
    -0.56
     Angels
    -0.55
    POSITIVE LOGITS
    ally
    1.54
    ality
    1.10
    alities
    1.08
    als
    1.04
    ALLY
    0.99
    atically
    0.97
    nel
    0.95
    iflower
    0.84
     tremend
    0.84
    ographically
    0.84
    Activations Density 0.023%

    No Known Activations