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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. 14309
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    Explanations

    relationships between variables, particularly focusing on how one variable changes in relation to another

    oai_token-act-pair · gpt-3.5-turbo

    phrases denoting a correlation or relationship between variables

    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
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    No Comments

    Negative Logits
    »Ĵ
    -0.74
    «ĺ
    -0.71
    safe
    -0.68
    ippi
    -0.68
    İĭ
    -0.67
    arc
    -0.66
    igible
    -0.66
     safely
    -0.65
    cci
    -0.64
    apest
    -0.64
    POSITIVE LOGITS
     inflation
    0.71
    Reloaded
    0.70
    Demand
    0.66
     TOD
    0.66
     proportional
    0.65
     therap
    0.63
     horizont
    0.62
     Mania
    0.62
    flation
    0.60
     realization
    0.59
    Activations Density 0.337%

    No Known Activations