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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. 1-RES-JB
    11. 21644
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    INDEX
    Explanations

    negative aspects or drawbacks of various situations or concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to negative aspects or drawbacks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocal
    -0.82
    ingham
    -0.76
    chin
    -0.67
    ondon
    -0.67
    olds
    -0.67
    itar
    -0.66
    hips
    -0.66
    vor
    -0.66
    rams
    -0.65
    ax
    -0.65
    POSITIVE LOGITS
     downside
    1.40
     drawback
    1.17
     drawbacks
    0.92
     downfall
    0.88
     disadvantages
    0.86
     undermin
    0.84
     deterrent
    0.84
     Beware
    0.82
     beware
    0.82
     limitation
    0.78
    Activations Density 0.014%

    No Known Activations