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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. 3-RES-JB
    11. 8234
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    Explanations

    words related to taking or obtaining something, often in a forceful or unfair manner

    oai_token-act-pair · gpt-3.5-turbo

    verbs and their variations related to actions or processes that are ongoing or completed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sf
    -0.87
    straight
    -0.73
    typ
    -0.66
    crim
    -0.64
    sb
    -0.63
    Marx
    -0.63
    involved
    -0.62
    matic
    -0.60
    signed
    -0.60
     Lub
    -0.60
    POSITIVE LOGITS
    etus
    1.03
    olls
    0.97
    apers
    0.96
    avorite
    0.96
    aukee
    0.95
    olitan
    0.88
    rodu
    0.87
    odon
    0.87
    ocry
    0.84
    ollo
    0.84
    Activations Density 0.008%

    No Known Activations