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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. 10941
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    Explanations

    mentions of the word "Snow" with various levels of specificity

    oai_token-act-pair · gpt-3.5-turbo

    references to "Snow" in various contexts

    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
    igious
    -0.86
    ributes
    -0.74
    ect
    -0.72
    ulhu
    -0.71
    arians
    -0.71
    opathy
    -0.70
    ented
    -0.70
    ributed
    -0.69
    izabeth
    -0.69
    ernandez
    -0.68
    POSITIVE LOGITS
    flake
    1.45
     Snow
    1.00
     Leopard
    0.95
    dale
    0.83
     Crash
    0.83
    weather
    0.81
    don
    0.81
    lake
    0.80
    hawk
    0.80
    fox
    0.79
    Activations Density 0.010%

    No Known Activations