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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. 6-RES-JB
    11. 13672
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    Explanations

    phrases related to imagining scenarios or events

    oai_token-act-pair · gpt-3.5-turbo

    conjectures or hypothetical scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isphere
    -0.60
    Kings
    -0.55
     canopy
    -0.54
    stuff
    -0.52
     Cologne
    -0.52
     Euph
    -0.52
    Spoiler
    -0.52
    oster
    -0.52
     Gran
    -0.52
    Gab
    -0.51
    POSITIVE LOGITS
    govtrack
    0.61
    ļé
    0.59
    ultane
    0.57
     alternatively
    0.56
     secondly
    0.56
    erest
    0.55
    anwhile
    0.55
    vertisement
    0.54
    any
    0.54
     lesbians
    0.53
    Activations Density 1.079%

    No Known Activations