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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. 23611
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    Explanations

    phrases emphasizing repetition or recurrence

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing repetition or recurring 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
     Theft
    -0.67
    gs
    -0.60
     Trouble
    -0.59
    Thirty
    -0.59
    Writ
    -0.59
    assis
    -0.57
    Prot
    -0.56
     Serious
    -0.55
    iquette
    -0.55
    ories
    -0.55
    POSITIVE LOGITS
    etheless
    1.00
     again
    0.82
    theless
    0.75
    igree
    0.73
     until
    0.72
    )=(
    0.72
     repeated
    0.69
    again
    0.67
     AGA
    0.66
     glued
    0.65
    Activations Density 0.034%

    No Known Activations