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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. 7-RES-JB
    11. 4907
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    INDEX
    Explanations

    issues or problems within various contexts and scenarios

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate problems or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    daq
    -0.81
    caster
    -0.74
    ZZ
    -0.73
    scl
    -0.72
    Laughs
    -0.71
    ãĤ¼ãĤ¦ãĤ¹
    -0.71
    holiday
    -0.70
    lake
    -0.70
    ppa
    -0.70
    nian
    -0.70
    POSITIVE LOGITS
     interpreting
    0.89
     maintaining
    0.85
     legality
    0.84
     regard
    0.82
     accessing
    0.80
     handling
    0.79
     classification
    0.78
     reliability
    0.78
     preventing
    0.77
     adapting
    0.74
    Activations Density 0.184%

    No Known Activations