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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. 1491
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    Explanations

    phrases related to technical issues or potential problems

    oai_token-act-pair · gpt-3.5-turbo

    terms related to safety and security issues

    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
    enaries
    -0.72
     Zup
    -0.70
    ensable
    -0.70
    izons
    -0.69
     Uriel
    -0.67
    chin
    -0.67
    phabet
    -0.66
    onomy
    -0.66
    adel
    -0.66
    ofi
    -0.65
    POSITIVE LOGITS
     problems
    1.58
     errors
    1.53
     deficiency
    1.44
     injuries
    1.44
     defects
    1.44
     malf
    1.43
     violations
    1.42
     misfortune
    1.41
     irregularities
    1.41
     deficiencies
    1.40
    Activations Density 1.372%

    No Known Activations