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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 23066
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    Explanations

    personal pronouns followed by verbs indicating action

    oai_token-act-pair · gpt-3.5-turbo

    pronouns and personal references

    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
     srfAttach
    -0.82
    Elsewhere
    -0.79
     Others
    -0.79
    Others
    -0.75
     Amen
    -0.75
     Else
    -0.73
    soType
    -0.72
    Another
    -0.71
     Additional
    -0.71
     Lastly
    -0.69
    POSITIVE LOGITS
     literally
    0.91
    've
    0.82
    asma
    0.80
     WANT
    0.78
     invented
    0.76
     want
    0.76
     basically
    0.75
     simply
    0.73
     genuinely
    0.73
     relentlessly
    0.72
    Activations Density 0.409%

    No Known Activations