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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. 22839
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    Explanations

    phrases related to carrying out tasks or actions, especially in instances of execution, enforcement, or operation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to executing actions or operations

    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
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    No Comments

    Negative Logits
    esa
    -0.74
    cius
    -0.67
     magnets
    -0.66
    anooga
    -0.64
    phrine
    -0.60
    Bow
    -0.59
    shaw
    -0.58
     etched
    -0.57
    Diamond
    -0.57
    hetti
    -0.56
    POSITIVE LOGITS
    fitted
    0.79
    flows
    0.79
    tan
    0.69
     è£ıè
    0.68
    doors
    0.67
    posts
    0.67
     passenger
    0.65
    flow
    0.63
    casts
    0.63
    idth
    0.63
    Activations Density 0.057%

    No Known Activations