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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. 3157
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    Explanations

    phrases related to potential outcomes or consequences

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in."

    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
    soever
    -0.71
     %%
    -0.61
    NOW
    -0.60
    HAEL
    -0.58
    cia
    -0.57
     classmates
    -0.56
    ¶æ
    -0.56
     accused
    -0.55
    llan
    -0.55
    ]'
    -0.53
    POSITIVE LOGITS
     lieu
    1.17
     accordance
    1.16
    effic
    1.15
    escap
    1.13
    clus
    1.11
     favor
    1.09
     vain
    1.08
    clusively
    1.08
    authent
    1.05
    humane
    1.04
    Activations Density 0.362%

    No Known Activations