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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. 6-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    parts of speech, particularly prepositions and common noun endings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abwe
    -0.76
    ushima
    -0.67
     gorilla
    -0.67
     sidx
    -0.64
    jri
    -0.64
     blazing
    -0.61
     grab
    -0.60
     rgb
    -0.59
    ruary
    -0.59
    perty
    -0.58
    POSITIVE LOGITS
    oric
    0.71
    bidden
    0.69
    heim
    0.68
    Henry
    0.68
    selves
    0.67
    ophy
    0.63
    Thor
    0.63
    otropic
    0.63
    alon
    0.63
    ages
    0.63
    Activations Density 0.074%

    No Known Activations