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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. 4195
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    Explanations

    past or hypothetical scenarios

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "were" and its variations

    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
    ²¾
    -0.69
    now
    -0.68
    etheless
    -0.67
    Zone
    -0.67
    Express
    -0.66
    Dialogue
    -0.64
    sequently
    -0.63
    Services
    -0.62
    objects
    -0.62
    Tier
    -0.62
    POSITIVE LOGITS
    hers
    0.88
    ocument
    0.71
     originally
    0.70
    hes
    0.66
    ãĤ½
    0.63
     ($)
    0.62
     destro
    0.61
    ĸļ
    0.61
     recently
    0.60
     previously
    0.60
    Activations Density 0.634%

    No Known Activations