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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. 19647
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    Explanations

    phrases related to instructions or commands

    oai_token-act-pair · gpt-3.5-turbo

    negations and affirmative statements

    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
     Caucasian
    -0.68
    ERAL
    -0.68
     Kard
    -0.68
    abases
    -0.66
     Boxing
    -0.66
    ħ
    -0.64
     helicop
    -0.64
    ICLE
    -0.64
     Witches
    -0.64
     Caucas
    -0.63
    POSITIVE LOGITS
    destroy
    0.81
    ãĥīãĥ©
    0.78
    exit
    0.69
     conquered
    0.69
     adv
    0.69
     abst
    0.68
     withdrawn
    0.67
    own
    0.66
    redo
    0.66
    reve
    0.65
    Activations Density 0.528%

    No Known Activations