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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. 7586
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    Explanations

    names of specific individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and references to specific individuals or entities

    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
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    No Comments

    Negative Logits
    ãĥ¯ãĥ³
    -0.70
    SEA
    -0.66
    RAL
    -0.63
    aucuses
    -0.62
    afety
    -0.61
    ccording
    -0.61
     foreseeable
    -0.60
     Archdemon
    -0.59
     subscribed
    -0.58
     sizeable
    -0.58
    POSITIVE LOGITS
    tein
    0.95
    than
    0.85
    itone
    0.72
     srfAttach
    0.71
    leases
    0.69
    horn
    0.67
    bane
    0.66
     Scrolls
    0.64
    ×ķ
    0.64
    ħĭ
    0.63
    Activations Density 0.720%

    No Known Activations