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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. 16839
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    Explanations

    phrases indicating capability or eligibility

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating capability or eligibility related to various subjects

    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
    ĸļ
    -0.82
    rir
    -0.73
    ahan
    -0.69
     Hezbollah
    -0.65
    bern
    -0.64
     Mahm
    -0.64
    ftime
    -0.64
    usra
    -0.64
    renched
    -0.63
    hest
    -0.63
    POSITIVE LOGITS
    IENT
    0.73
    amina
    0.65
    DAY
    0.65
     corrective
    0.65
    IENCE
    0.63
     conting
    0.63
     limitless
    0.62
    ILLE
    0.62
     conventional
    0.62
     constitutionally
    0.59
    Activations Density 0.391%

    No Known Activations