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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. 345
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    Explanations

    decimal numbers with a specific format, possibly related to computer programming or technical details

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and time-related references

    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
     Shogun
    -0.71
    querque
    -0.70
    PDATE
    -0.70
    Äĩ
    -0.66
    ipel
    -0.64
    Ļ½
    -0.64
    ccording
    -0.62
    vic
    -0.62
    iannopoulos
    -0.61
    ħĭ
    -0.61
    POSITIVE LOGITS
    576
    1.00
    000
    0.78
    erences
    0.72
    001
    0.70
    00
    0.66
    0010
    0.66
     commandments
    0.66
    arching
    0.63
    600
    0.63
    11
    0.62
    Activations Density 0.162%

    No Known Activations