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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. 2-RES-JB
    11. 6258
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    Explanations

    verbs related to planning or envisioning future events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to envisioning or imagining future scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    die
    -0.74
    wa
    -0.71
    ammy
    -0.67
    grade
    -0.66
    Hispanic
    -0.66
    idity
    -0.65
    ni
    -0.65
    Hi
    -0.65
     stain
    -0.64
    onew
    -0.64
    POSITIVE LOGITS
     envision
    1.09
     envisioned
    0.86
    eers
    0.86
     imagining
    0.86
     visions
    0.84
     envis
    0.83
    ufact
    0.82
    urations
    0.82
    ĸļ
    0.81
     imag
    0.80
    Activations Density 0.022%

    No Known Activations