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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. 4088
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    Explanations

    terms related to research institutions or experimental facilities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scientific experiments, particularly those in a formal context

    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
    vati
    -0.76
    eve
    -0.75
    ched
    -0.69
    verted
    -0.65
    ciating
    -0.64
    verts
    -0.62
    hered
    -0.61
     simmer
    -0.60
    versions
    -0.60
    books
    -0.60
    POSITIVE LOGITS
    andom
    0.88
    otor
    0.88
    obile
    0.86
    ilk
    0.86
    asonic
    0.85
    ont
    0.85
    erm
    0.83
    aceutical
    0.81
    uda
    0.81
    agnetic
    0.81
    Activations Density 0.008%

    No Known Activations