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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. 4-RES-JB
    11. 14421
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    Explanations

    adjectives describing approaches or strategies in a variety of contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to proactive versus reactive approaches and agility in contexts like policy and project management

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

    No Comments

    Negative Logits
    ings
    -0.79
    cakes
    -0.73
    ells
    -0.73
    rin
    -0.72
    anie
    -0.71
    awar
    -0.70
    oded
    -0.67
    pal
    -0.67
    oths
    -0.67
    aco
    -0.66
    POSITIVE LOGITS
    spective
    0.82
    issance
    0.79
    gebra
    0.78
     Pwr
    0.72
     proactive
    0.71
    ãĤ¡
    0.70
    áµ
    0.70
    ctor
    0.69
    ctive
    0.69
    ctl
    0.67
    Activations Density 0.025%

    No Known Activations