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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. 7882
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to compounding effects or cumulative impacts

    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
    FORE
    -0.81
     Millennium
    -0.73
     Rabbit
    -0.65
     Variety
    -0.63
    \\\\\\\\\\\\\\\\
    -0.59
     Roses
    -0.59
     Flore
    -0.59
     Sandwich
    -0.59
    TPPStreamerBot
    -0.59
     Opposition
    -0.58
    POSITIVE LOGITS
    endium
    1.32
    ulsive
    1.25
    artments
    1.24
    ilers
    1.13
    ressing
    1.07
    resses
    1.05
    ounding
    1.03
    ressive
    1.00
    osit
    1.00
    otent
    1.00
    Activations Density 0.018%

    No Known Activations