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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. 1-RES-JB
    11. 2115
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    Explanations

    negative sentiment or words associated with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "negative" and its associated contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ITNESS
    -0.89
    soDeliveryDate
    -0.83
    DOM
    -0.79
    tnc
    -0.74
    Introduced
    -0.74
    olate
    -0.73
    doms
    -0.71
    DF
    -0.71
    arij
    -0.71
    akings
    -0.71
    POSITIVE LOGITS
     Negative
    1.09
     negative
    1.07
    negative
    1.07
     reinforcement
    1.04
     spiral
    0.94
     impact
    0.91
     positive
    0.91
     feedback
    0.90
     stigma
    0.90
     negatively
    0.89
    Activations Density 0.010%

    No Known Activations