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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. 2-RES-JB
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    Explanations

    pronouns 'we' or 'our'

    oai_token-act-pair · gpt-3.5-turbo

    the word "we," indicating a focus on collective experiences or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     srfAttach
    -0.67
    nesota
    -0.56
     Publication
    -0.53
    cum
    -0.53
    613
    -0.53
    REDACTED
    -0.53
    INGTON
    -0.52
    abee
    -0.52
     Marino
    -0.52
    netflix
    -0.52
    POSITIVE LOGITS
    've
    0.86
    IRD
    0.82
    asel
    0.80
    bsite
    0.80
    're
    0.79
    'll
    0.76
    ighed
    0.76
     ourselves
    0.75
    eding
    0.75
    arers
    0.74
    Activations Density 0.172%

    No Known Activations