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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. 11-RES-JB
    11. 2616
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    INDEX
    Explanations

    instances where the action of noticing is described or implied

    oai_token-act-pair · gpt-3.5-turbo

    phrases discussing awareness or observation of details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raft
    -0.90
    adr
    -0.85
    quer
    -0.83
    íķ
    -0.76
    venge
    -0.73
    prep
    -0.71
    ieri
    -0.70
    ä½ľ
    -0.69
    Topic
    -0.68
    ulum
    -0.68
    POSITIVE LOGITS
     discrepancies
    1.08
     similarities
    1.05
     inconsistencies
    1.02
     differences
    0.98
     spikes
    0.96
     flaws
    0.93
     how
    0.92
     patterns
    0.91
     something
    0.91
     irregularities
    0.89
    Activations Density 0.099%

    No Known Activations