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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. 7120
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    Explanations

    words related to objects or items being identified or interacted with

    oai_token-act-pair · gpt-3.5-turbo

    references to "object" in various contexts

    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
     millenn
    -0.92
    artney
    -0.70
    ricia
    -0.69
    ornia
    -0.68
    fen
    -0.68
    cling
    -0.67
    rosso
    -0.67
     sanity
    -0.66
    tes
    -0.65
    ould
    -0.65
    POSITIVE LOGITS
     objects
    0.90
    objects
    0.87
    handler
    0.83
    object
    0.82
    imus
    0.80
    ifier
    0.78
     object
    0.77
    ivity
    0.76
    ifications
    0.75
     Clicker
    0.75
    Activations Density 0.015%

    No Known Activations