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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. 14763
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    Explanations

    the word "very" used in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the word "very" in various contexts to emphasize intensification

    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
    igi
    -0.66
     Franch
    -0.64
    iture
    -0.63
    osal
    -0.62
    olor
    -0.61
    izational
    -0.61
    onent
    -0.60
    heny
    -0.60
    Afee
    -0.59
    CHA
    -0.59
    POSITIVE LOGITS
     LIMITED
    0.84
     seldom
    0.84
     rarely
    0.83
     much
    0.80
     little
    0.80
    much
    0.80
     similar
    0.80
     readable
    0.77
     close
    0.77
     few
    0.77
    Activations Density 0.069%

    No Known Activations