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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. 24008
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    Explanations

    phrases following the pattern "after [event]"

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating timing or sequencing of events

    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
    aez
    -0.86
    cin
    -0.77
    ASE
    -0.70
    NRS
    -0.70
    itect
    -0.69
    olds
    -0.68
    ahime
    -0.68
    geist
    -0.67
    Fa
    -0.67
    baum
    -0.65
    POSITIVE LOGITS
    noon
    0.97
     midnight
    0.94
     supper
    0.83
     sunset
    0.81
     signing
    0.80
     inspecting
    0.80
     lunch
    0.79
     announcing
    0.77
     spotting
    0.76
     completing
    0.75
    Activations Density 0.122%

    No Known Activations