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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. 6-RES-JB
    11. 11884
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    Explanations

    phrases related to planning or organization

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to policy implications and judgments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ennett
    -0.63
    addon
    -0.60
    ials
    -0.59
    arter
    -0.58
     ><
    -0.55
    rison
    -0.52
    ainers
    -0.49
    ants
    -0.48
     Serpent
    -0.48
    antics
    -0.48
    POSITIVE LOGITS
     incidentally
    0.57
     belonged
    0.57
    Els
    0.56
     antit
    0.56
     Euros
    0.55
     resembled
    0.52
    fit
    0.52
     outwe
    0.50
    é¾įå¥ij士
    0.49
     outweigh
    0.49
    Activations Density 0.718%

    No Known Activations