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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. 10-RES-JB
    11. 8056
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    Explanations

    phrases related to achievements or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    references to actions or events that have already occurred

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    issance
    -0.84
    usterity
    -0.82
     invariably
    -0.77
     uniformly
    -0.76
    always
    -0.76
     always
    -0.73
    edient
    -0.72
    qqa
    -0.71
    complex
    -0.66
    utic
    -0.64
    POSITIVE LOGITS
     mentioning
    0.90
     mention
    0.81
    handedly
    0.76
     mentions
    0.74
     jokes
    0.73
     joking
    0.73
     nick
    0.71
     cameo
    0.69
    irtual
    0.68
     remotely
    0.67
    Activations Density 0.328%

    No Known Activations