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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. 24451
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    Explanations

    phrases related to physical locations or directions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to locations or settings in narratives

    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
    Not in Any Lists

    No Comments

    Negative Logits
    mates
    -0.75
    eers
    -0.64
    say
    -0.63
    LESS
    -0.63
    iam
    -0.61
     âĨij
    -0.61
    actionDate
    -0.58
    shown
    -0.58
    ador
    -0.58
    sight
    -0.57
    POSITIVE LOGITS
     fray
    1.57
     abyss
    1.12
     bloodstream
    1.10
     realm
    1.08
     vortex
    1.06
     weeds
    1.02
     strat
    1.02
     midst
    1.01
     groove
    1.00
     fold
    0.98
    Activations Density 0.145%

    No Known Activations