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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. 6020
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    Explanations

    phrases related to negative impacts or consequences

    oai_token-act-pair · gpt-3.5-turbo

    words that describe negative impacts or consequences

    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
    ancies
    -0.80
    rera
    -0.62
    utenberg
    -0.62
     submissions
    -0.60
    ithe
    -0.59
    pez
    -0.58
    oked
    -0.58
    Submit
    -0.58
     flowers
    -0.57
     Submission
    -0.57
    POSITIVE LOGITS
     havoc
    0.76
     impacting
    0.75
     deterrent
    0.73
     morale
    0.72
     downstream
    0.70
    ingly
    0.68
     unto
    0.68
    angering
    0.67
    incent
    0.66
     undermin
    0.66
    Activations Density 0.307%

    No Known Activations