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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. 7-RES-JB
    11. 12614
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    Explanations

    sentences indicating the topic or focus of a discussion or situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a progression or continuation of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ullah
    -0.84
    icio
    -0.72
     Horus
    -0.72
    ament
    -0.70
    ablo
    -0.66
    idable
    -0.62
    ature
    -0.62
    ificent
    -0.61
    ipation
    -0.59
    uminati
    -0.59
    POSITIVE LOGITS
    lems
    1.01
    verning
    0.98
    vt
    0.93
    ggle
    0.91
    Ń·
    0.91
     overboard
    0.91
    eker
    0.85
     unnoticed
    0.80
     viral
    0.80
    ©¶æ
    0.79
    Activations Density 0.097%

    No Known Activations