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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. 4-RES-JB
    11. 17048
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    relevant information or content

    oai_token-act-pair · gpt-3.5-turbo

    expressions of relevancy or significance in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    rette
    -0.94
    cker
    -0.73
    anus
    -0.73
    boat
    -0.71
    uber
    -0.71
    rug
    -0.70
    jah
    -0.68
    rix
    -0.68
    hesda
    -0.67
    usk
    -0.67
    POSITIVE LOGITS
     contextual
    0.81
     è£ıè
    0.80
     newsp
    0.80
     predic
    0.74
     explan
    0.74
    relevant
    0.73
    é¾įå¥ij士
    0.73
    ively
    0.72
     material
    0.72
    ="#
    0.72
    Activations Density 0.018%

    No Known Activations