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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. 8-RES-JB
    11. 6533
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    Explanations

    words related to locations or travel destinations

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific location or entity named "Cadad" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     backwards
    -0.66
     pity
    -0.63
     pole
    -0.62
     Manit
    -0.62
     Sunshine
    -0.61
     corrective
    -0.60
     trout
    -0.59
     poles
    -0.59
    ideshow
    -0.59
     stret
    -0.58
    POSITIVE LOGITS
    visor
    1.23
    venture
    1.20
    ventures
    1.13
    vised
    1.09
    vance
    1.06
    aily
    1.06
    visors
    1.05
    illac
    1.03
    rome
    1.02
    rill
    1.01
    Activations Density 0.040%

    No Known Activations