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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. 7-RES-JB
    11. 7383
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    Explanations

    verbs expressing actions or activities

    oai_token-act-pair · gpt-3.5-turbo

    active verbs indicating actions or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eg
    -0.80
    peg
    -0.69
    û
    -0.67
    uminati
    -0.67
    wow
    -0.67
    estine
    -0.67
    eria
    -0.66
    Phys
    -0.66
    mob
    -0.66
    acha
    -0.66
    POSITIVE LOGITS
     aside
    0.63
    =]
    0.62
     aliases
    0.61
     unsus
    0.60
    ãĥ¥
    0.59
     engagements
    0.58
     only
    0.58
     professions
    0.58
    theless
    0.57
     needles
    0.57
    Activations Density 0.256%

    No Known Activations