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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. 10-RES-JB
    11. 8029
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    Explanations

    words related to personal qualities or characteristics, such as strength, motivation, fate, and intention

    oai_token-act-pair · gpt-3.5-turbo

    terms related to personal values and responsibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acan
    -0.78
    thinkable
    -0.73
    amsung
    -0.71
    obos
    -0.69
    »Ĵ
    -0.68
    orks
    -0.67
    ghai
    -0.64
    racuse
    -0.61
    zanne
    -0.61
    oat
    -0.61
    POSITIVE LOGITS
     selves
    0.81
    alien
    0.79
    mate
    0.72
    aiden
    0.71
     anyways
    0.70
     anyway
    0.69
    iest
    0.68
     guide
    0.68
     asset
    0.68
    .
    0.67
    Activations Density 0.180%

    No Known Activations