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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. 9-RES-JB
    11. 3490
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    timestamps and time-related information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sole
    -0.90
    ween
    -0.81
    bleacher
    -0.78
    bys
    -0.77
    cair
    -0.73
    states
    -0.71
    saf
    -0.70
    bole
    -0.70
    Split
    -0.69
    Vari
    -0.69
    POSITIVE LOGITS
     PM
    1.09
     GMT
    1.05
     AM
    1.03
     EDT
    0.91
     UTC
    0.89
     RPM
    0.84
     PST
    0.81
     pm
    0.81
     EVE
    0.79
     PDT
    0.78
    Activations Density 0.036%

    No Known Activations