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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. 5309
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    Explanations

    dates or time-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific days, times, and 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
    ierrez
    -0.69
    eral
    -0.69
    ittal
    -0.67
    rig
    -0.65
    RANT
    -0.64
    mut
    -0.63
    lav
    -0.62
    pherd
    -0.61
    chell
    -0.61
     Contract
    -0.60
    POSITIVE LOGITS
    elight
    0.80
     era
    0.73
    cients
    0.63
    ij士
    0.62
     fame
    0.60
     century
    0.59
     BDS
    0.59
     millennium
    0.59
     litter
    0.58
    -'
    0.57
    Activations Density 0.126%

    No Known Activations