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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. 9463
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    Explanations

    mentions of the word "Cathar" or words related to the Cathars

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Cath" and its variations, likely related to a specific topic or context involving Catholicism or a similar subject

    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
    Not in Any Lists

    No Comments

    Negative Logits
    nesota
    -0.80
     Grizzlies
    -0.79
    EMENT
    -0.76
     Predators
    -0.73
     Gemini
    -0.70
    culosis
    -0.70
     Timberwolves
    -0.67
    xual
    -0.65
     DEFENSE
    -0.65
    Http
    -0.64
    POSITIVE LOGITS
    ode
    1.16
    olics
    1.07
    arine
    1.05
    alog
    0.97
    ryn
    0.96
    rones
    0.95
    olic
    0.91
    odes
    0.91
    ouse
    0.90
    ysis
    0.90
    Activations Density 0.011%

    No Known Activations