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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. 15625
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    Explanations

    phrases or sentences indicating the acceptability or unacceptability of certain behaviors or situations

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating acceptability or standards

    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
    berry
    -0.79
    hunt
    -0.79
    dream
    -0.76
    frey
    -0.76
    king
    -0.75
    ynthesis
    -0.73
    hunter
    -0.72
    ocket
    -0.71
    oult
    -0.71
    chest
    -0.71
    POSITIVE LOGITS
    soDeliveryDate
    0.83
     srfAttach
    0.80
    lihood
    0.79
     acceptable
    0.77
     newsp
    0.76
    ible
    0.75
    itable
    0.75
    é¾įå¥ij士
    0.75
     variance
    0.74
     precedent
    0.74
    Activations Density 0.011%

    No Known Activations