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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. 2-RES-JB
    11. 14310
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    Explanations

    uncommon or advanced vocabulary words

    oai_token-act-pair · gpt-3.5-turbo

    words indicating temporal states or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odium
    -0.77
    packs
    -0.73
    paren
    -0.69
    urrent
    -0.66
    verbs
    -0.65
    role
    -0.65
    hett
    -0.65
    nels
    -0.63
    imm
    -0.62
    pack
    -0.61
    POSITIVE LOGITS
    soever
    0.87
    enance
    0.86
    forth
    0.79
    lihood
    0.74
    LECT
    0.72
     enqu
    0.67
    swer
    0.66
    iculty
    0.66
    ,—
    0.65
    tainment
    0.64
    Activations Density 0.075%

    No Known Activations