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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. 3744
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    Explanations

    names or variations of the name "Iro"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific name or term, particularly "iro"

    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
    ervative
    -0.95
    ennett
    -0.79
    iple
    -0.77
    itect
    -0.74
    ulhu
    -0.72
    ŃĶ
    -0.69
    itutional
    -0.68
    enberg
    -0.68
    enburg
    -0.67
    urer
    -0.66
    POSITIVE LOGITS
    zzi
    1.19
    phant
    1.18
    tto
    1.08
    tti
    0.91
    zes
    0.91
    ku
    0.86
    lette
    0.84
    bid
    0.83
    tes
    0.80
    IDS
    0.79
    Activations Density 0.019%

    No Known Activations