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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. 3520
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    Explanations

    words related to portals

    oai_token-act-pair · gpt-3.5-turbo

    references to portals

    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
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    Negative Logits
    ribution
    -0.80
    IGHTS
    -0.76
    hiro
    -0.75
    ermott
    -0.73
    utenant
    -0.71
    lihood
    -0.70
    yan
    -0.70
    yre
    -0.70
    ributed
    -0.69
    rol
    -0.67
    POSITIVE LOGITS
    folios
    0.82
     portal
    0.82
    ismo
    0.81
    archives
    0.75
    nels
    0.75
     Portal
    0.71
    istry
    0.71
     portals
    0.71
    ansas
    0.70
    istas
    0.68
    Activations Density 0.025%

    No Known Activations