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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. 2736
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    INDEX
    Explanations

    comparisons in terms of quantity or degree

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases that indicate preferences or likelihoods

    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
     VIDEOS
    -0.82
    ulence
    -0.76
     succession
    -0.75
     CITY
    -0.69
    iversary
    -0.67
    ersion
    -0.66
    was
    -0.65
    ãĥ¯
    -0.65
     arises
    -0.64
    asions
    -0.64
    POSITIVE LOGITS
     aware
    1.29
     interested
    1.28
     proud
    1.18
     pleased
    1.16
     allergic
    1.15
     concerned
    1.14
     afraid
    1.14
     comfortable
    1.09
     reluctant
    1.09
    aware
    1.08
    Activations Density 0.248%

    No Known Activations