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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. 14027
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    Explanations

    sentences containing words related to general advice or reflective thoughts

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing uncertainty or requests for clarification

    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
    arthed
    -0.80
    umbn
    -0.77
    ]),
    -0.76
    ounter
    -0.74
    è¦ļéĨĴ
    -0.73
    "},"
    -0.68
    SPONSORED
    -0.65
     guiActiveUnfocused
    -0.65
    "}],"
    -0.63
    è»
    -0.62
    POSITIVE LOGITS
    cknow
    0.89
     kidding
    0.83
    ?!
    0.82
    eday
    0.81
     gotta
    0.80
    ...?
    0.76
    Cause
    0.74
    HAHAHAHA
    0.72
     huh
    0.72
    !?
    0.71
    Activations Density 0.525%

    No Known Activations