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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. 23930
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    Explanations

    phrases related to progression or movement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating progression or movement towards a goal

    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
     variance
    -0.64
     Warrant
    -0.64
     includ
    -0.64
    Synopsis
    -0.64
     variation
    -0.59
    reau
    -0.59
     accompanying
    -0.57
    unit
    -0.57
     activ
    -0.57
     spare
    -0.57
    POSITIVE LOGITS
     adulthood
    0.96
    enhagen
    0.91
    livion
    0.89
     brink
    0.88
     adolescence
    0.81
     heights
    0.81
     fruition
    0.80
    alach
    0.79
     sidx
    0.77
    iphany
    0.76
    Activations Density 0.470%

    No Known Activations