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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. 6-RES-JB
    11. 1663
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    Explanations

    phrases related to significant events or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate occurrences and ongoing situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lex
    -0.70
    retty
    -0.67
    enture
    -0.67
    maxwell
    -0.65
    nered
    -0.64
     caution
    -0.64
    itches
    -0.63
    reau
    -0.62
    theless
    -0.61
    loo
    -0.60
    POSITIVE LOGITS
     heartbeat
    0.74
    verages
    0.72
     spawned
    0.69
     plag
    0.68
     underpin
    0.66
     Bulg
    0.64
    hest
    0.62
     presently
    0.62
    division
    0.61
     fundament
    0.61
    Activations Density 0.280%

    No Known Activations