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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. 9-RES-JB
    11. 3357
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    INDEX
    Explanations

    phrases expressing positive or negative implications

    oai_token-act-pair · gpt-3.5-turbo

    future actions or predictions regarding events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hacked
    -0.67
    vati
    -0.63
    CTV
    -0.62
     Uses
    -0.62
     wielding
    -0.62
     imagining
    -0.61
     joking
    -0.61
     designing
    -0.60
     naming
    -0.60
     practicing
    -0.60
    POSITIVE LOGITS
     undoubtedly
    1.12
     doubtless
    1.10
     be
    1.10
     haunt
    1.09
     affect
    1.07
     intensify
    1.07
     hopefully
    1.07
     culmin
    1.05
     expire
    1.05
     inevitably
    1.03
    Activations Density 0.229%

    No Known Activations