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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. 3-RES-JB
    11. 12941
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    Explanations

    phrases related to correctness or accuracy

    oai_token-act-pair · gpt-3.5-turbo

    affirmations of being "wrong" or incorrect in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ri
    -0.70
    incinn
    -0.69
    soType
    -0.68
    é¾
    -0.67
    cit
    -0.65
    ivities
    -0.64
    anned
    -0.62
    ility
    -0.61
    amen
    -0.60
    zeb
    -0.59
    POSITIVE LOGITS
    fully
    0.85
    eous
    0.83
     guiActiveUn
    0.79
    headed
    0.74
    edIn
    0.70
    mouth
    0.70
     tack
    0.70
     unfocusedRange
    0.69
     wrong
    0.68
    ftime
    0.67
    Activations Density 0.023%

    No Known Activations