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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. 4-RES-JB
    11. 18608
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    Explanations

    mentions of physical objects such as baskets

    oai_token-act-pair · gpt-3.5-turbo

    references to "baskets" in various contexts

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

    No Comments

    Negative Logits
     confir
    -0.79
    pez
    -0.70
    inse
    -0.68
    MRI
    -0.66
    andro
    -0.66
    encing
    -0.64
     medial
    -0.63
    lex
    -0.62
     Examiner
    -0.60
    omen
    -0.58
    POSITIVE LOGITS
     baskets
    0.98
    eers
    0.90
     basket
    0.88
    jee
    0.84
    mates
    0.82
    staff
    0.78
    chairs
    0.77
    halla
    0.77
    ista
    0.77
    gie
    0.75
    Activations Density 0.015%

    No Known Activations