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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 9730
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    Explanations

    locations or context related to violent events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ographers
    -0.76
    fn
    -0.75
    inx
    -0.74
    ional
    -0.72
    load
    -0.70
    pointers
    -0.69
    witch
    -0.68
    HCR
    -0.67
     distinguishes
    -0.67
    casters
    -0.66
    POSITIVE LOGITS
     midst
    1.36
     vicinity
    1.27
     aftermath
    1.21
     guise
    1.16
     meantime
    1.11
     same
    1.08
     latter
    1.07
     ensuing
    1.06
     pursuit
    1.00
     absence
    1.00
    Activations Density 0.360%

    No Known Activations