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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. 3623
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    Explanations

    phrases related to opinions and responses

    oai_token-act-pair · gpt-3.5-turbo

    non-verbal elements or structural markers in the text, often indicating the absence of content

    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
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    No Comments

    Negative Logits
    ãĤ¨ãĥ«
    -0.75
     CY
    -0.65
    è¦ļéĨĴ
    -0.64
     Trojan
    -0.61
     acron
    -0.59
    GGGGGGGG
    -0.59
     PIN
    -0.57
    uses
    -0.55
     SERV
    -0.55
     Argon
    -0.55
    POSITIVE LOGITS
    «
    0.84
     be
    0.79
     suffice
    0.78
    be
    0.77
    ivably
    0.77
    schild
    0.76
    £
    0.73
    ean
    0.69
    breaker
    0.69
    alm
    0.67
    Activations Density 0.063%

    No Known Activations