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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. 13591
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    INDEX
    Explanations

    verbs indicating necessity or desirability

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs and phrases indicating potential or future actions

    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
     inspecting
    -0.61
    perty
    -0.59
     Hyder
    -0.58
     Driver
    -0.58
     Drivers
    -0.58
    opez
    -0.58
     composing
    -0.58
     Alam
    -0.57
    usha
    -0.56
    ustomed
    -0.56
    POSITIVE LOGITS
     happened
    0.89
     happen
    0.87
     happens
    0.87
     happ
    0.83
     happening
    0.78
     blat
    0.76
    OULD
    0.74
     entail
    0.68
     explan
    0.67
     occurred
    0.66
    Activations Density 0.183%

    No Known Activations