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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. 9-RES-JB
    11. 18033
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    Explanations

    references to polar bears and other related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to 'polar' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rahim
    -0.81
    bler
    -0.78
    lished
    -0.72
    hig
    -0.71
    alach
    -0.70
    ei
    -0.69
    FILE
    -0.68
    ECH
    -0.68
    dump
    -0.67
    BACK
    -0.67
    POSITIVE LOGITS
    izing
    1.16
    ities
    1.12
     vortex
    1.08
    oid
    1.02
     oppos
    1.00
    ising
    0.98
    izers
    0.98
    izer
    0.96
    ized
    0.93
    ization
    0.93
    Activations Density 0.051%

    No Known Activations