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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. 18683
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    INDEX
    Explanations

    mentions of fog or weather-related conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to fog and its effects or associated concepts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    DonaldTrump
    -0.75
    Murray
    -0.75
    Union
    -0.70
    brate
    -0.67
    Comments
    -0.67
     Pwr
    -0.66
    nis
    -0.66
    ité
    -0.66
    odore
    -0.65
    thritis
    -0.65
    POSITIVE LOGITS
     fog
    1.10
     curtain
    0.91
     cloud
    0.89
     shroud
    0.88
    glers
    0.87
     clouds
    0.86
     curtains
    0.85
    ging
    0.81
     cloudy
    0.81
     cloak
    0.81
    Activations Density 0.039%

    No Known Activations