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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. 12470
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    Explanations

    references to seat-related objects or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to seats 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
    istically
    -0.84
    issance
    -0.75
    operation
    -0.71
    icably
    -0.69
    cially
    -0.68
    istic
    -0.68
    ALLY
    -0.68
    ishly
    -0.66
    agascar
    -0.65
     Ivy
    -0.63
    POSITIVE LOGITS
    belt
    1.20
    holders
    1.08
     Seat
    1.02
    holder
    1.02
    mates
    1.00
    washer
    1.00
    seat
    0.98
    bars
    0.95
     cushion
    0.92
     cush
    0.91
    Activations Density 0.023%

    No Known Activations