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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. 8-RES-JB
    11. 2320
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    Explanations

    panoramic views or scenes

    oai_token-act-pair · gpt-3.5-turbo

    references to panoramic views or perspectives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Annotations
    -0.71
    bone
    -0.66
     Halls
    -0.64
    inement
    -0.63
    IELD
    -0.63
    ordinary
    -0.61
    INGTON
    -0.61
     Jagu
    -0.59
    REM
    -0.59
    IGH
    -0.59
    POSITIVE LOGITS
    orama
    1.07
    handler
    1.06
    acea
    1.01
    efully
    1.00
    ning
    0.97
    eful
    0.95
    shots
    0.94
    ocular
    0.93
    elled
    0.92
    icles
    0.92
    Activations Density 0.032%

    No Known Activations