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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. 7-RES-JB
    11. 24020
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    Explanations

    quantitative values related to distances and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to distances and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pse
    -0.64
     ('
    -0.64
    HAHAHAHA
    -0.63
    ariat
    -0.63
     (<
    -0.62
     guiName
    -0.61
    undai
    -0.60
    ifference
    -0.60
    ighters
    -0.58
    oken
    -0.58
    POSITIVE LOGITS
    %)
    1.10
    %).
    0.92
    )]
    0.88
    %),
    0.86
    ")
    0.84
    )
    0.82
    )!
    0.81
    )=
    0.81
    cm
    0.80
    )/
    0.79
    Activations Density 0.089%

    No Known Activations