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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. 8751
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    Explanations

    the word "Agent" with high activation levels

    oai_token-act-pair · gpt-3.5-turbo

    references to various fictional agents within a narrative context

    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
    issance
    -1.00
    lihood
    -0.89
    etooth
    -0.82
    ths
    -0.76
    FACE
    -0.76
    ĸļ
    -0.69
    frey
    -0.66
    cept
    -0.65
    brance
    -0.65
    nz
    -0.64
    POSITIVE LOGITS
     prov
    1.06
    sov
    0.86
    iola
    0.82
     Agent
    0.76
    agent
    0.76
     agent
    0.76
    inic
    0.73
     extraord
    0.70
    eers
    0.70
    inates
    0.69
    Activations Density 0.047%

    No Known Activations