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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. 13777
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    Explanations

    timestamps in the format of "PM" or "AM"

    oai_token-act-pair · gpt-3.5-turbo

    time designations, specifically indicating "PM" and "AM" timestamps

    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
    iform
    -0.80
    proof
    -0.79
    ctors
    -0.76
    onite
    -0.76
    etsk
    -0.75
    gettable
    -0.72
    ophon
    -0.71
    isation
    -0.70
    gotten
    -0.69
     describ
    -0.68
    POSITIVE LOGITS
     EDT
    1.29
     EST
    1.19
     PDT
    1.08
     PST
    1.04
     CET
    1.03
     ET
    1.00
     GMT
    0.96
     CST
    0.96
     IST
    0.92
     UTC
    0.87
    Activations Density 0.022%

    No Known Activations