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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. 5164
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    Explanations

    terms related to scientific experiments and experiences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to experimental contexts or experiences

    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
    Score
    -0.79
    tower
    -0.73
    sticks
    -0.69
     Cannes
    -0.66
    stick
    -0.66
    skirts
    -0.66
    aires
    -0.66
    naire
    -0.65
    alty
    -0.65
     Pact
    -0.64
    POSITIVE LOGITS
    ienced
    1.19
    iences
    0.98
    odox
    0.87
    ilit
    0.79
    iments
    0.77
    ience
    0.77
    ufact
    0.76
    ient
    0.75
    TS
    0.72
    ulously
    0.72
    Activations Density 0.056%

    No Known Activations