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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. 23509
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    Explanations

    adjectives related to perceived strength or intensity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "strong."

    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
    oleon
    -0.73
     Sloan
    -0.70
     Newly
    -0.70
     Correction
    -0.67
     Kare
    -0.67
    regon
    -0.67
     Incarnation
    -0.62
    Hop
    -0.62
     unfocusedRange
    -0.62
     Circus
    -0.61
    POSITIVE LOGITS
     enough
    0.98
    enough
    0.96
    nesses
    0.93
    ener
    0.87
     indication
    0.83
     contender
    0.83
     circumst
    0.82
     believer
    0.81
     proponent
    0.81
    man
    0.81
    Activations Density 0.067%

    No Known Activations