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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. 10-RES-JB
    11. 16135
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    INDEX
    Explanations

    words related to actions of exploding or collapsing

    oai_token-act-pair · gpt-3.5-turbo

    words related to implication and suggesting connections or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chal
    -0.74
    bial
    -0.67
    flix
    -0.67
     passer
    -0.66
    lette
    -0.61
    ryu
    -0.61
    liness
    -0.60
     cleaners
    -0.60
    BOOK
    -0.60
    kees
    -0.59
    POSITIVE LOGITS
    osion
    1.61
    oded
    1.53
    ausible
    1.53
    icating
    1.43
    oding
    1.36
    icate
    1.35
    icates
    1.26
    anting
    1.23
    ications
    1.23
    odes
    1.14
    Activations Density 0.019%

    No Known Activations