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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. 24338
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    Explanations

    names of specific people, organizations, and events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events or geographical phenomena related to winter conditions

    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
    ciplinary
    -0.64
    ozy
    -0.61
    ilian
    -0.60
     fray
    -0.58
    ierre
    -0.57
     detach
    -0.56
    istries
    -0.55
    worldly
    -0.55
    ervative
    -0.53
    legate
    -0.52
    POSITIVE LOGITS
    ucket
    0.60
    theless
    0.55
     Gardens
    0.55
     Hemp
    0.55
    corn
    0.54
    jong
    0.54
    Ń·
    0.53
    ROR
    0.52
     Garden
    0.52
     nails
    0.52
    Activations Density 1.008%

    No Known Activations