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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. 17338
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    Explanations

    words related to specific professions or fields of study followed by relevant verbs

    oai_token-act-pair · gpt-3.5-turbo

    nouns and adjectives that denote processes, conditions, or classifications

    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
     Scan
    -0.53
     Scal
    -0.52
     Hunt
    -0.51
     Hacker
    -0.46
     Dyn
    -0.46
     Cards
    -0.46
     Jackets
    -0.46
     Realm
    -0.45
     Fleet
    -0.45
     Planes
    -0.45
    POSITIVE LOGITS
    theless
    0.69
    iously
    0.57
    soever
    0.55
    tenance
    0.54
    uese
    0.52
    ieth
    0.52
    ominated
    0.51
    akery
    0.51
    zona
    0.51
    gins
    0.51
    Activations Density 0.687%

    No Known Activations