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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. 5223
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    Explanations

    actions related to planning or organizing

    oai_token-act-pair · gpt-3.5-turbo

    references to planning and organization in various contexts

    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
    terness
    -0.67
    gae
    -0.64
    worth
    -0.61
     cracked
    -0.60
    bery
    -0.59
    +)
    -0.58
    bare
    -0.58
     reproduced
    -0.58
    endor
    -0.57
     untreated
    -0.56
    POSITIVE LOGITS
     ACTIONS
    0.97
     itiner
    0.72
     retreat
    0.69
     delivery
    0.68
     trip
    0.67
     motions
    0.66
    Delivery
    0.66
     deliveries
    0.65
     seating
    0.65
     rollout
    0.64
    Activations Density 0.416%

    No Known Activations