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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. 9182
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    Explanations

    mentions of specific days of the week followed by the time of day

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "morning"

    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
    cient
    -0.74
    reat
    -0.67
    ome
    -0.64
     tab
    -0.62
    paralle
    -0.62
    minecraft
    -0.60
    emaker
    -0.60
    py
    -0.59
    oleon
    -0.58
    åĬ
    -0.58
    POSITIVE LOGITS
     afternoon
    0.75
     EDT
    0.74
     EST
    0.71
     Lans
    0.68
     commute
    0.68
     UPDATE
    0.67
     commuters
    0.63
     evening
    0.63
     PST
    0.62
    ,
    0.62
    Activations Density 0.087%

    No Known Activations