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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. 7292
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    Explanations

    phrases describing unexpected or surprising outcomes

    oai_token-act-pair · gpt-3.5-turbo
    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
    aim
    -0.80
    anti
    -0.75
    good
    -0.71
    ore
    -0.70
    mob
    -0.69
    chio
    -0.69
     normative
    -0.68
    oret
    -0.66
    ahime
    -0.66
    otive
    -0.63
    POSITIVE LOGITS
     realise
    0.93
     realize
    0.82
     reapp
    0.80
     beg
    0.77
     abruptly
    0.77
     subsequently
    0.76
     succumb
    0.75
     mysteriously
    0.75
     discover
    0.75
     resort
    0.74
    Activations Density 0.054%

    No Known Activations