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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. 5449
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    Explanations

    specific verbs related to recounting information or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate evidence or reporting of information or events

    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
    istries
    -0.96
    rontal
    -0.85
    ierce
    -0.78
    osterone
    -0.74
    enburg
    -0.71
    aukee
    -0.68
    vae
    -0.68
    incial
    -0.67
    ardo
    -0.67
    estern
    -0.66
    POSITIVE LOGITS
     evidenced
    0.76
     happens
    0.76
     by
    0.75
     unfolds
    0.73
     articulated
    0.71
     narrated
    0.71
     develops
    0.66
    ream
    0.66
     elaborated
    0.65
     AST
    0.65
    Activations Density 0.048%

    No Known Activations