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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. 6-RES-JB
    11. 10969
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    INDEX
    Explanations

    phrases indicating reasons or causes

    oai_token-act-pair · gpt-3.5-turbo

    causal phrases and explanations

    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
    aby
    -0.65
    anything
    -0.64
    corn
    -0.64
    bush
    -0.63
    icol
    -0.63
     throats
    -0.62
    agnetic
    -0.62
    «
    -0.62
    jan
    -0.62
     Classes
    -0.61
    POSITIVE LOGITS
     efforts
    0.67
     implicit
    0.65
     exacerbated
    0.64
     anecd
    0.64
     apparent
    0.63
     groundwork
    0.63
     sheer
    0.63
     spurred
    0.63
     reluctance
    0.63
     inertia
    0.62
    Activations Density 0.132%

    No Known Activations