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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. 8-RES-JB
    6. 19198
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    Explanations

    uses of certain objects or substances in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the term "use" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Barg
    -0.72
     Vie
    -0.67
     Zur
    -0.63
     Huck
    -0.63
     Beir
    -0.62
     Sandwich
    -0.61
     Wem
    -0.59
     passage
    -0.59
     Barron
    -0.59
    bitious
    -0.58
    POSITIVE LOGITS
    fulness
    1.22
    fully
    1.11
    FUL
    1.09
    ful
    0.99
    full
    0.96
    ability
    0.88
    ible
    0.82
    lessness
    0.78
    ables
    0.78
    ibility
    0.76
    Activations Density 0.049%

    No Known Activations