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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. 15262
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    Explanations

    words related to harm or destruction

    oai_token-act-pair · gpt-3.5-turbo

    terms related to negative impacts and harmful effects

    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
    ariat
    -0.91
    buck
    -0.87
    rique
    -0.79
    aintain
    -0.79
    ploma
    -0.78
    illon
    -0.77
    oleon
    -0.77
    cedented
    -0.75
    pecting
    -0.75
    igrate
    -0.72
    POSITIVE LOGITS
     tendencies
    0.91
     impulses
    0.86
     effects
    0.84
     behaviour
    0.82
     impulse
    0.81
     aspects
    0.81
     nature
    0.81
     alien
    0.80
     actions
    0.79
     behavior
    0.78
    Activations Density 0.113%

    No Known Activations