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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. 2729
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    Explanations

    verbs indicating actions or events happening

    oai_token-act-pair · gpt-3.5-turbo

    verbs that indicate negative outcomes or failures

    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
    ortment
    -0.76
    pour
    -0.75
    itton
    -0.72
    rather
    -0.72
    Ĥİ
    -0.64
    soon
    -0.63
    Kings
    -0.63
    probably
    -0.61
     never
    -0.61
     newcom
    -0.61
    POSITIVE LOGITS
     anymore
    1.69
     nor
    1.20
     any
    1.11
     anywhere
    1.08
     anything
    1.07
     slightest
    1.04
     necessarily
    0.98
     anybody
    0.96
     enough
    0.93
     ANY
    0.89
    Activations Density 0.256%

    No Known Activations