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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. 3-RES-JB
    11. 17844
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    Explanations

    words related to lack of trust or reliability in a negative context

    oai_token-act-pair · gpt-3.5-turbo

    terms related to trust and antitrust issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Phant
    -0.71
    \\\\\\\\\\\\\\\\
    -0.65
    borough
    -0.65
     Lucia
    -0.64
    jet
    -0.64
     Trance
    -0.64
    fi
    -0.63
     Chomsky
    -0.61
     Dele
    -0.61
    VERS
    -0.60
    POSITIVE LOGITS
    worthiness
    1.03
    iosyncr
    0.96
    icate
    0.91
    ership
    0.87
    worthy
    0.85
    hip
    0.85
    icit
    0.83
    icated
    0.82
    heny
    0.81
    iances
    0.80
    Activations Density 0.021%

    No Known Activations