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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. 2078
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    Explanations

    phrases indicating that something is easily done or perceived

    oai_token-act-pair · gpt-3.5-turbo

    phrases that highlight simplicity or ease of understanding

    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
    eters
    -0.79
    grave
    -0.77
    borg
    -0.74
    raints
    -0.73
    mbuds
    -0.73
    bane
    -0.67
    emp
    -0.66
    pter
    -0.65
    reen
    -0.64
    arks
    -0.64
    POSITIVE LOGITS
     prey
    0.86
    Jet
    0.86
     enough
    0.79
     easy
    0.77
    going
    0.76
    wired
    0.76
    coded
    0.74
    pmwiki
    0.72
     understandable
    0.71
    Deal
    0.67
    Activations Density 0.032%

    No Known Activations