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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. 20697
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    Explanations

    phrases related to locations or entities within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    references to geographical locations or entities within a political or social context

    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
    agascar
    -0.72
     viol
    -0.69
    onna
    -0.67
     ahead
    -0.62
    govtrack
    -0.61
    rex
    -0.58
     torches
    -0.58
    daq
    -0.58
     against
    -0.57
    vu
    -0.57
    POSITIVE LOGITS
     confines
    1.64
     bounds
    1.40
     boundaries
    1.14
     limits
    1.09
     scope
    1.02
     parameters
    1.00
     borders
    0.99
     realm
    0.93
     radius
    0.91
     perimeter
    0.88
    Activations Density 0.092%

    No Known Activations