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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. 11-RES-JB
    11. 11521
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    Explanations

    phrases related to commands or instructions

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to moral and ethical implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bombings
    -0.70
     hoax
    -0.67
     divorce
    -0.67
     skull
    -0.67
     torpedo
    -0.67
     tunnel
    -0.66
     fog
    -0.66
     crab
    -0.65
     tabloid
    -0.65
     libel
    -0.64
    POSITIVE LOGITS
    worthy
    1.13
    orthy
    1.13
    relevant
    1.02
    uable
    0.99
    advant
    0.98
    aintain
    0.98
    efficient
    0.96
    vantage
    0.94
    eligible
    0.94
    sufficient
    0.93
    Activations Density 0.642%

    No Known Activations